DEPLOYDatabase

Robot model

RecycleOS

othercommercialby EverestLabs

AI-powered operating system for recycling facilities that uses computer vision and robotic cells to identify and sort recyclable materials with over 90%…

Manufacturer
EverestLabs
Form factor
other
Maturity
commercial
Lifecycle
active
Deployments
2

The verified answer

As of Oct 2026, DEPLOY verifies RecycleOS, a other by EverestLabs (commercial): 2 verified deployments on record. 3 sources back the record.

Overview

AI-powered operating system for recycling facilities that uses computer vision and robotic cells to identify and sort recyclable materials with over 90% efficacy. Deployed at MRFs across the US.

Verified vs. claimed

Maturity stage
commercial(Commercially deployed with revenue-generating operations.)
Sources on file
View all sources →

Key facts

Type

AI-powered waste sorting robot

AI and robotics recycling platform

EverestLabs describes RecycleOS as an AI and robotics platform for automating sorting in materials recovery facilities (RecycleOS)

Existing conveyor integration

EverestLabs says its robotics offering is designed to work with existing conveyor systems and supports quality control and recovery tasks (EverestLabs robotics)

Robotics page prints a 3x3 ft cell

EverestLabs' robotics page prints a cell footprint of 3x3 ft and a typical pick success of 90 percent or more. The stored conveyor sentence is not this footprint cell (EverestLabs robotics).

Robotics page prints 10M belt hours

The same page prints 10M+ belt hours and 80 percent or higher pick success in production, with payback under 12 months. Those cells are not the stored RecycleOS platform sentence (EverestLabs robotics).

Data & sources

Web sources

3

3 sources backing this record.View all →

Pricing

No verified price is on record for RecycleOS. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.

Deployments (2)

  • RecycleOS sorting robot deployed at The Exchange, a new Chicago recycling facility, funded by Can Manufacturers Institute members Ardagh Metal Packaging and Crown Holdings.

  • Sims Municipal Recycling installed four EverestLabs robotic cells at its Sunset Park MRF in Brooklyn, reporting cost savings and improved materials recovery.

Free to use on your site, with a link back to DEPLOY.

RecycleOS on the deployment map

View the global map

Where RecycleOS is verified operating. Explore the deployment map by place and type.

Free to use on your site, with a link back to DEPLOY.

Recent activity

Every change to this record is dated, sourced, and independently verified where marked.

Full change history →

Previous generation

The historical entries remain on the registry for reference; current coverage tracks this generation.

Safety record

No incidents on record for RecycleOS.

Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.

Sources (3)

  1. https://www.everestlabs.ai/
  2. https://www.everestlabs.ai/recycleos
  3. https://everestlabs.ai/products/robotics

Common questions

What is RecycleOS?
AI-powered operating system for recycling facilities that uses computer vision and robotic cells to identify and sort recyclable materials with over 90% efficacy. Deployed at MRFs across the US.
How much does RecycleOS cost?
RecycleOS's price is not publicly disclosed. DEPLOY has no verified price on record for RecycleOS from EverestLabs. Physical-AI systems like this are often sold through enterprise contracts or operated as a service rather than at a public list price; check the manufacturer for the latest.
Is RecycleOS actually deployed in the real world?
Yes. RecycleOS is independently verified in real-world operation on the DEPLOY registry, confirmed at named deployment sites with primary sources: not a concept, render, or demo-only.
Who makes RecycleOS?
RecycleOS is made by EverestLabs, based in Fremont, California, USA.
Where is RecycleOS deployed?
2 verified deployments of RecycleOS are on the DEPLOY registry, including at Chicago, Brooklyn.
Can you buy RecycleOS?
RecycleOS is in commercial deployment and is sold to operators; contact the manufacturer to buy, and see the pricing section for any recorded price.
What are alternatives to RecycleOS?
On the DEPLOY registry, comparable other robots to RecycleOS include ASML EUV TwinScan, BrainOS, 10Beauty Manicure System, CleanSpark Bitcoin Mining Fleet.
How does RecycleOS compare to ASML EUV TwinScan?
RecycleOS and ASML EUV TwinScan (ASML Holding · 7 deployments) are both other robots on the DEPLOY registry. RecycleOS has 2 verified deployments on record. Compare both records for specs, safety, deployments, and verified-vs-claimed autonomy.
Is RecycleOS a top other?
On DEPLOY's intelligence score, which blends verified deployments, safety, adoption, media, and IP signals, RecycleOS ranks in roughly the top 28% of other models tracked by the registry.
What is RecycleOS's maturity stage?
RecycleOS is at the commercial stage on the DEPLOY maturity ladder (research, prototype, pilot, commercial, production). Commercial stage means production-grade deployments are operating at named customer sites.
Is RecycleOS safe?
RecycleOS has no incidents on record in the DEPLOY registry. This does not constitute a safety guarantee; it reflects the incidents DEPLOY has tracked and verified to date.
What is the RecycleOS sorting robot?
RecycleOS by EverestLabs is a robotics cell designed for ease of use and maximum pick success at the lowest total cost of ownership. It automates manual sorting of recyclables. Deployed at LRS Exchange MRF on the residual line to target UBCs (used beverage cans) for maximum efficiency.
Methodology: Verified · 3 sources (no primary) · last reviewed 2026-10-04

Verification posture

Verified

Low confidence

Review state

Stable

Last reviewed 2026-10-04

Maturity + lifecycle

Maturity stage: commercial

Lifecycle: active

Architectural position

Cohort: other

Sources by quality tier

3
unclassified
Unclassified source

The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.

Methodology surface for RecycleOS.

Recent coverage

RecycleOS in third-party press